sampling theorem is used to know about sample signal.
sam. theorm
The central limit theorem can be used to determine the shape of a sampling distribution in which of the following scenarios?
the central limit theorem
Thanks to the Central Limit Theorem, the sampling distribution of the mean is Gaussian (normal) whose mean is the population mean and whose standard deviation is the sample standard error.
Theorem
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
sam. theorm
The central limit theorem can be used to determine the shape of a sampling distribution in which of the following scenarios?
I cannot see where the Nyquist theorem relates to cables, fiber or not.The theorem I know, the Nyquist-Shannon sampling theorem, talks about the limitations in sampling a continuous (analog) signal at discrete intervals to turn it into digital form.An optical fiber or other cable merely transport bits, there is no analog/digital conversion and no sampling taking place.
That is a theorem.A theorem.
A theorem is a statement that is proved by deductive logic.
sampling is a one type of process use for converting into analog signal to digital signal.
A corollary is a statement that can easily be proved using a theorem.
No. A corollary is a statement that can be easily proved using a theorem.
No. A corollary is a statement that can be easily proved using a theorem.
A corollary.
theorem